This paper describes an integrated approach to pattern classification
where a self-organising Boolean neural network architecture is used as
a front-end processor to a feedforward neural architecture based on g
oal-seeking principles (the GSN architecture). The performance of the
integrated architecture is illustrated by considering its application
to a character recognition problem.